Statistical modeling of educational data

Posted on December 25, 2022  •  1 minutes  • 88 words

We studied a family of asymmetric link functions for binary regression models under Bayesian approach. Furthermore, we study a wide variety of model comparison measures, including information criteria and measures of predictive evaluation. A simulation study was conducted in order to research accuracy and efficiency on estimated parameters. Through analysis of educational data from Peru we show that models using the proposed link functions perform better fit than models using standard links.

You can find the dataset of the application here . The complete work is here .